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Arash Ebrahimi Araghizad

Observed names: Aras Efe, Ebrahimi Araghizad, Arash
Observed institution: Sabancı Üniversitesi
ORCID: 0000-0003-4117-1773
Observed ORCID: 0000-0003-4117-1773
OpenAlex ID: A5045503496
Physics-informed tool wear prediction in turning process: A thermo-mechanical wear-included force model integrated with machine learning
2024 · Farzad Pashmforoush, Arash Ebrahimi Araghizad, et al. · Journal of Manufacturing Systems · 69
Improving milling force predictions: A hybrid approach integrating physics-based simulation and machine learning for remarkable accuracy across diverse unseen materials and tool types
2024 · Arash Ebrahimi Araghizad, Farzad Pashmforoush, et al. · Journal of Manufacturing Processes · 49
Tool wear prediction in milling process using physics-informed machine learning and thermo-mechanical force model with monitoring applications
2025 · Farzad Pashmforoush, Arash Ebrahimi Araghizad, et al. · Journal of Manufacturing Systems · 34
Broaching tool design through force modelling and process simulation
2020 · Emre Özlü, Arash Ebrahimi Araghizad, et al. · CIRP Annals · 25
Milling process monitoring based on intelligent real-time parameter identification for unmanned manufacturing
2024 · Arash Ebrahimi Araghizad, Faraz Tehranizadeh, et al. · CIRP Annals · 14
Smart Tool-Related Faults Monitoring System Using Process Simulation-Based Machine Learning Algorithms
2023 · Arash Ebrahimi Araghizad, Faraz Tehranizadeh, et al. · Journal of Machine Engineering · 13
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On-machine tool wear monitoring system using strain-gauge signals and edge force coefficients with physics-informed machine learning
2026 · Mahdi Mohamadyari Heydarlou, Arash Ebrahimi Araghizad, et al. · CIRP Annals · 3
Physics-informed machine learning for intelligent process monitoring: A sensorless approach for cutting force estimation based on feed drive dynamics and motor current
2026 · Farzad Pashmforoush, Aras Efe, et al. · Journal of Manufacturing Systems · 1
On texturing cBN grinding wheels and its effect on reduction of ploughing share and increased productivity
2025 · Vahid Moussavi, Suzan Behrouzbaraghi, et al. · Journal of Manufacturing Processes · 1
Improving five-axis milling force prediction through physics-guided transfer learning and orientation-aware process planning
2026 · Mahdi Mohamadyari Heydarlou, Aras Efe, et al. · CIRP journal of manufacturing science and technology
Geometrical optimization of the broaching tools by leveling of the cutting forces
2018 · Arash Ebrahimi Araghizad
Works count: 16
Citation count: 215
H-index: 6
I10-index: 6
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